Profiling Report

Dataset statistics

Number of variables	15
Number of observations	271116
Missing cells	363853
Missing cells (%)	8.9%
Duplicate rows	612
Duplicate rows (%)	0.2%
Total size in memory	31.0 MiB
Average record size in memory	120.0 B

Variable types

Numeric	5
Text	6
Categorical	4

Alerts

Dataset has 612 (0.2%) duplicate rows	Duplicates
`Height` is highly overall correlated with `Weight`	High correlation
`Weight` is highly overall correlated with `Height` and 1 other fields	High correlation
`Year` is highly overall correlated with `City`	High correlation
`Sex` is highly overall correlated with `Weight`	High correlation
`Season` is highly overall correlated with `City`	High correlation
`City` is highly overall correlated with `Year` and 1 other fields	High correlation
`Age` has 9474 (3.5%) missing values	Missing
`Height` has 60171 (22.2%) missing values	Missing
`Weight` has 62875 (23.2%) missing values	Missing
`Medal` has 231333 (85.3%) missing values	Missing

Reproduction

Analysis started	2024-03-20 13:12:08.763264
Analysis finished	2024-03-20 13:12:20.654835
Duration	11.89 seconds
Software version	ydata-profiling vv4.6.0
Download configuration	config.json

ID
Real number (ℝ)

Distinct	135571
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68248.954

Minimum	1
Maximum	135571
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1
5-th percentile	7347.75
Q1	34643
median	68205
Q3	102097.25
95-th percentile	128978
Maximum	135571
Range	135570
Interquartile range (IQR)	67454.25

Descriptive statistics

Standard deviation	39022.286
Coefficient of variation (CV)	0.57176387
Kurtosis	-1.1972922
Mean	68248.954
Median Absolute Deviation (MAD)	33738
Skewness	-0.0046811565
Sum	1.8503384 × 10¹⁰
Variance	1.5227388 × 10⁹
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77710	58	< 0.1%
106296	39	< 0.1%
115354	38	< 0.1%
119591	36	< 0.1%
129196	32	< 0.1%
44875	32	< 0.1%
53240	32	< 0.1%
119590	32	< 0.1%
89187	32	< 0.1%
106156	31	< 0.1%
Other values (135561)	270754	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	6	< 0.1%
6	8	< 0.1%
7	8	< 0.1%
8	2	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
135571	2	< 0.1%
135570	2	< 0.1%
135569	1	< 0.1%
135568	1	< 0.1%
135567	2	< 0.1%
135566	1	< 0.1%
135565	2	< 0.1%
135564	1	< 0.1%
135563	2	< 0.1%
135562	1	< 0.1%

Name
Text

Distinct	134732
Distinct (%)	49.7%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	108
Median length	78
Mean length	19.34199
Min length	2

Characters and Unicode

Total characters	5243923
Distinct characters	63
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	77009 ?
Unique (%)	28.4%

Sample

1st row	A Dijiang
2nd row	A Lamusi
3rd row	Gunnar Nielsen Aaby
4th row	Edgar Lindenau Aabye
5th row	Christine Jacoba Aaftink

Value	Count	Frequency (%)
john	3881	0.5%
de	3794	0.5%
robert	2597	0.4%
william	2329	0.3%
james	2027	0.3%
peter	2007	0.3%
van	1966	0.3%
michael	1928	0.3%
david	1925	0.3%
joseph	1854	0.3%
Other values (108718)	716928	96.7%

Most occurring characters

Value	Count	Frequency (%)
a	491302	9.4%
	470440	9.0%
e	428351	8.2%
i	348275	6.6%
n	348236	6.6%
r	334503	6.4%
o	298902	5.7%
l	233064	4.4%
s	189413	3.6%
t	165499	3.2%
Other values (53)	1935938	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3885189	74.1%
Uppercase Letter	751692	14.3%
Space Separator	470440	9.0%
Other Punctuation	60783	1.2%
Dash Punctuation	39474	0.8%
Close Punctuation	18174	0.3%
Open Punctuation	18170	0.3%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	491302	12.6%
e	428351	11.0%
i	348275	9.0%
n	348236	9.0%
r	334503	8.6%
o	298902	7.7%
l	233064	6.0%
s	189413	4.9%
t	165499	4.3%
h	130797	3.4%
Other values (16)	916847	23.6%

Uppercase Letter

Value	Count	Frequency (%)
M	67864	9.0%
A	59013	7.9%
S	58822	7.8%
J	49127	6.5%
B	40397	5.4%
K	38545	5.1%
C	38204	5.1%
R	36780	4.9%
G	36229	4.8%
L	36200	4.8%
Other values (16)	290511	38.6%

Other Punctuation

Value	Count	Frequency (%)
"	49602	81.6%
.	6909	11.4%
,	2801	4.6%
'	1449	2.4%
&	19	< 0.1%
/	3	< 0.1%

Space Separator

Value	Count	Frequency (%)
	470440	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	39474	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	18174	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	18170	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4636881	88.4%
Common	607042	11.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	491302	10.6%
e	428351	9.2%
i	348275	7.5%
n	348236	7.5%
r	334503	7.2%
o	298902	6.4%
l	233064	5.0%
s	189413	4.1%
t	165499	3.6%
h	130797	2.8%
Other values (42)	1668539	36.0%

Common

Value	Count	Frequency (%)
	470440	77.5%
"	49602	8.2%
-	39474	6.5%
)	18174	3.0%
(	18170	3.0%
.	6909	1.1%
,	2801	0.5%
'	1449	0.2%
&	19	< 0.1%
/	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5243923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	491302	9.4%
	470440	9.0%
e	428351	8.2%
i	348275	6.6%
n	348236	6.6%
r	334503	6.4%
o	298902	5.7%
l	233064	4.4%
s	189413	3.6%
t	165499	3.2%
Other values (53)	1935938	36.9%

Sex
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

M	196594
F	74522

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	271116
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	F

Common Values

Value	Count	Frequency (%)
M	196594	72.5%
F	74522	27.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	196594	72.5%
f	74522	27.5%

Most occurring characters

Value	Count	Frequency (%)
M	196594	72.5%
F	74522	27.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	271116	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	196594	72.5%
F	74522	27.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	271116	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	196594	72.5%
F	74522	27.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	271116	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	196594	72.5%
F	74522	27.5%

Age
Real number (ℝ)

MISSING

Distinct	74
Distinct (%)	< 0.1%
Missing	9474
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%
Mean	25.556898

Minimum	10
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	10
5-th percentile	18
Q1	21
median	24
Q3	28
95-th percentile	37
Maximum	97
Range	87
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.3935608
Coefficient of variation (CV)	0.25016967
Kurtosis	6.2706424
Mean	25.556898
Median Absolute Deviation (MAD)	3
Skewness	1.7471225
Sum	6686758
Variance	40.87762
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23	21875	8.1%
24	21720	8.0%
22	20814	7.7%
25	19707	7.3%
21	19164	7.1%
26	17675	6.5%
27	16025	5.9%
20	15258	5.6%
28	14043	5.2%
19	11643	4.3%
Other values (64)	83718	30.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	1	< 0.1%
11	13	< 0.1%
12	39	< 0.1%
13	187	0.1%
14	837	0.3%
15	2203	0.8%
16	3852	1.4%
17	5376	2.0%
18	8152	3.0%
19	11643	4.3%

Value	Count	Frequency (%)
97	1	< 0.1%
96	1	< 0.1%
88	3	< 0.1%
84	1	< 0.1%
81	2	< 0.1%
80	3	< 0.1%
77	2	< 0.1%
76	7	< 0.1%
75	4	< 0.1%
74	12	< 0.1%

Height
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	95
Distinct (%)	< 0.1%
Missing	60171
Missing (%)	22.2%
Infinite	0
Infinite (%)	0.0%
Mean	175.33897

Minimum	127
Maximum	226
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	127
5-th percentile	158
Q1	168
median	175
Q3	183
95-th percentile	193
Maximum	226
Range	99
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.518462
Coefficient of variation (CV)	0.059989301
Kurtosis	0.17772797
Mean	175.33897
Median Absolute Deviation (MAD)	7
Skewness	0.018477298
Sum	36986879
Variance	110.63805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
180	12492	4.6%
170	11976	4.4%
178	10708	3.9%
175	10320	3.8%
183	8284	3.1%
168	8211	3.0%
173	7843	2.9%
172	7813	2.9%
165	7246	2.7%
185	6839	2.5%
Other values (85)	119213	44.0%
(Missing)	60171	22.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
127	7	< 0.1%
128	1	< 0.1%
130	2	< 0.1%
131	2	< 0.1%
132	9	< 0.1%
133	6	< 0.1%
135	14	< 0.1%
136	28	< 0.1%
137	18	< 0.1%
138	20	< 0.1%

Value	Count	Frequency (%)
226	3	< 0.1%
223	4	< 0.1%
221	4	< 0.1%
220	6	< 0.1%
219	2	< 0.1%
218	13	< 0.1%
217	11	< 0.1%
216	12	< 0.1%
215	19	< 0.1%
214	16	< 0.1%

Weight
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	220
Distinct (%)	0.1%
Missing	62875
Missing (%)	23.2%
Infinite	0
Infinite (%)	0.0%
Mean	70.702393

Minimum	25
Maximum	214
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	25
5-th percentile	50
Q1	60
median	70
Q3	79
95-th percentile	95
Maximum	214
Range	189
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.34802
Coefficient of variation (CV)	0.20293542
Kurtosis	2.0175229
Mean	70.702393
Median Absolute Deviation (MAD)	9
Skewness	0.79716903
Sum	14723137
Variance	205.86568
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	9625	3.6%
60	7994	2.9%
75	7810	2.9%
68	7284	2.7%
65	7236	2.7%
72	6252	2.3%
80	6214	2.3%
73	5937	2.2%
63	5869	2.2%
64	5764	2.1%
Other values (210)	138256	51.0%
(Missing)	62875	23.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
25	6	< 0.1%
28	14	< 0.1%
30	42	< 0.1%
31	23	< 0.1%
32	41	< 0.1%
33	51	< 0.1%
34	73	< 0.1%
35	92	< 0.1%
36	137	0.1%
37	173	0.1%

Value	Count	Frequency (%)
214	2	< 0.1%
198	1	< 0.1%
190	1	< 0.1%
182	2	< 0.1%
180	1	< 0.1%
178	1	< 0.1%
176.5	2	< 0.1%
175	1	< 0.1%
170	5	< 0.1%
167	2	< 0.1%

Team
Text

Distinct	1184
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	47
Median length	39
Mean length	8.4146601
Min length	2

Characters and Unicode

Total characters	2281349
Distinct characters	72
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	< 0.1%

Sample

1st row	China
2nd row	China
3rd row	Denmark
4th row	Denmark/Sweden
5th row	Netherlands

Value	Count	Frequency (%)
united	19046	5.6%
states	18179	5.4%
germany	15068	4.5%
france	11999	3.6%
great	11812	3.5%
britain	11414	3.4%
italy	10260	3.0%
canada	9279	2.7%
japan	8289	2.5%
sweden	8052	2.4%
Other values (1317)	214526	63.5%

Most occurring characters

Value	Count	Frequency (%)
a	324455	14.2%
e	199934	8.8%
n	195074	8.6%
i	170815	7.5%
t	154682	6.8%
r	140338	6.2%
l	84992	3.7%
o	80470	3.5%
s	76328	3.3%
d	74872	3.3%
Other values (62)	779389	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1863640	81.7%
Uppercase Letter	337030	14.8%
Space Separator	66808	2.9%
Decimal Number	6417	0.3%
Dash Punctuation	6260	0.3%
Other Punctuation	798	< 0.1%
Open Punctuation	198	< 0.1%
Close Punctuation	198	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	324455	17.4%
e	199934	10.7%
n	195074	10.5%
i	170815	9.2%
t	154682	8.3%
r	140338	7.5%
l	84992	4.6%
o	80470	4.3%
s	76328	4.1%
d	74872	4.0%
Other values (16)	361680	19.4%

Uppercase Letter

Value	Count	Frequency (%)
S	56302	16.7%
G	32456	9.6%
C	29629	8.8%
U	29530	8.8%
B	27135	8.1%
A	20878	6.2%
F	18207	5.4%
I	17642	5.2%
N	15441	4.6%
R	13485	4.0%
Other values (16)	76325	22.6%

Decimal Number

Value	Count	Frequency (%)
1	2910	45.3%
2	2829	44.1%
3	413	6.4%
4	107	1.7%
9	35	0.5%
7	34	0.5%
6	31	0.5%
5	23	0.4%
8	18	0.3%
0	17	0.3%

Other Punctuation

Value	Count	Frequency (%)
'	227	28.4%
"	226	28.3%
,	138	17.3%
.	127	15.9%
/	43	5.4%
#	37	4.6%

Space Separator

Value	Count	Frequency (%)
	66808	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6260	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	198	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	198	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2200670	96.5%
Common	80679	3.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	324455	14.7%
e	199934	9.1%
n	195074	8.9%
i	170815	7.8%
t	154682	7.0%
r	140338	6.4%
l	84992	3.9%
o	80470	3.7%
s	76328	3.5%
d	74872	3.4%
Other values (42)	698710	31.7%

Common

Value	Count	Frequency (%)
	66808	82.8%
-	6260	7.8%
1	2910	3.6%
2	2829	3.5%
3	413	0.5%
'	227	0.3%
"	226	0.3%
(	198	0.2%
)	198	0.2%
,	138	0.2%
Other values (10)	472	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2281349	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	324455	14.2%
e	199934	8.8%
n	195074	8.6%
i	170815	7.5%
t	154682	6.8%
r	140338	6.2%
l	84992	3.7%
o	80470	3.5%
s	76328	3.3%
d	74872	3.3%
Other values (62)	779389	34.2%

NOC
Text

Distinct	230
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	813348
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	CHN
2nd row	CHN
3rd row	DEN
4th row	DEN
5th row	NED

Value	Count	Frequency (%)
usa	18853	7.0%
fra	12758	4.7%
gbr	12256	4.5%
ita	10715	4.0%
ger	9830	3.6%
can	9733	3.6%
jpn	8444	3.1%
swe	8339	3.1%
aus	7638	2.8%
hun	6607	2.4%
Other values (220)	165943	61.2%

Most occurring characters

Value	Count	Frequency (%)
R	96188	11.8%
A	87196	10.7%
U	79908	9.8%
S	67289	8.3%
N	60744	7.5%
E	54771	6.7%
G	44903	5.5%
I	33230	4.1%
B	31123	3.8%
C	29054	3.6%
Other values (16)	228942	28.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	813348	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	96188	11.8%
A	87196	10.7%
U	79908	9.8%
S	67289	8.3%
N	60744	7.5%
E	54771	6.7%
G	44903	5.5%
I	33230	4.1%
B	31123	3.8%
C	29054	3.6%
Other values (16)	228942	28.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	813348	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	96188	11.8%
A	87196	10.7%
U	79908	9.8%
S	67289	8.3%
N	60744	7.5%
E	54771	6.7%
G	44903	5.5%
I	33230	4.1%
B	31123	3.8%
C	29054	3.6%
Other values (16)	228942	28.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	813348	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	96188	11.8%
A	87196	10.7%
U	79908	9.8%
S	67289	8.3%
N	60744	7.5%
E	54771	6.7%
G	44903	5.5%
I	33230	4.1%
B	31123	3.8%
C	29054	3.6%
Other values (16)	228942	28.1%

Games
Text

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	2982276
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1992 Summer
2nd row	2012 Summer
3rd row	1920 Summer
4th row	1900 Summer
5th row	1988 Winter

Value	Count	Frequency (%)
summer	222552	41.0%
winter	48564	9.0%
1992	16413	3.0%
1988	14676	2.7%
2000	13821	2.5%
1996	13780	2.5%
2016	13688	2.5%
2008	13602	2.5%
2004	13443	2.5%
2012	12920	2.4%
Other values (27)	158773	29.3%

Most occurring characters

Value	Count	Frequency (%)
m	445104	14.9%
	271116	9.1%
e	271116	9.1%
r	271116	9.1%
1	225799	7.6%
9	222816	7.5%
S	222552	7.5%
u	222552	7.5%
0	185309	6.2%
2	162937	5.5%
Other values (10)	481859	16.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1355580	45.5%
Decimal Number	1084464	36.4%
Space Separator	271116	9.1%
Uppercase Letter	271116	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	225799	20.8%
9	222816	20.5%
0	185309	17.1%
2	162937	15.0%
8	94098	8.7%
6	87494	8.1%
4	57036	5.3%
7	22461	2.1%
5	15792	1.5%
3	10722	1.0%

Lowercase Letter

Value	Count	Frequency (%)
m	445104	32.8%
e	271116	20.0%
r	271116	20.0%
u	222552	16.4%
i	48564	3.6%
n	48564	3.6%
t	48564	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	222552	82.1%
W	48564	17.9%

Space Separator

Value	Count	Frequency (%)
	271116	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1626696	54.5%
Common	1355580	45.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
	271116	20.0%
1	225799	16.7%
9	222816	16.4%
0	185309	13.7%
2	162937	12.0%
8	94098	6.9%
6	87494	6.5%
4	57036	4.2%
7	22461	1.7%
5	15792	1.2%

Latin

Value	Count	Frequency (%)
m	445104	27.4%
e	271116	16.7%
r	271116	16.7%
S	222552	13.7%
u	222552	13.7%
W	48564	3.0%
i	48564	3.0%
n	48564	3.0%
t	48564	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2982276	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	445104	14.9%
	271116	9.1%
e	271116	9.1%
r	271116	9.1%
1	225799	7.6%
9	222816	7.5%
S	222552	7.5%
u	222552	7.5%
0	185309	6.2%
2	162937	5.5%
Other values (10)	481859	16.2%

Year
Real number (ℝ)

HIGH CORRELATION

Distinct	35
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1978.3785

Minimum	1896
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.1 MiB

Quantile statistics

Minimum	1896
5-th percentile	1920
Q1	1960
median	1988
Q3	2002
95-th percentile	2016
Maximum	2016
Range	120
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	29.877632
Coefficient of variation (CV)	0.015102081
Kurtosis	-0.20694758
Mean	1978.3785
Median Absolute Deviation (MAD)	20
Skewness	-0.81773578
Sum	5.3637006 × 10⁸
Variance	892.67289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
1992	16413	6.1%
1988	14676	5.4%
2000	13821	5.1%
1996	13780	5.1%
2016	13688	5.0%
2008	13602	5.0%
2004	13443	5.0%
2012	12920	4.8%
1972	11959	4.4%
1984	11588	4.3%
Other values (25)	135226	49.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1896	380	0.1%
1900	1936	0.7%
1904	1301	0.5%
1906	1733	0.6%
1908	3101	1.1%
1912	4040	1.5%
1920	4292	1.6%
1924	5693	2.1%
1928	5574	2.1%
1932	3321	1.2%

Value	Count	Frequency (%)
2016	13688	5.0%
2014	4891	1.8%
2012	12920	4.8%
2010	4402	1.6%
2008	13602	5.0%
2006	4382	1.6%
2004	13443	5.0%
2002	4109	1.5%
2000	13821	5.1%
1998	3605	1.3%

Season
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Summer	222552
Winter	48564

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1626696
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Summer
2nd row	Summer
3rd row	Summer
4th row	Summer
5th row	Winter

Common Values

Value	Count	Frequency (%)
Summer	222552	82.1%
Winter	48564	17.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
summer	222552	82.1%
winter	48564	17.9%

Most occurring characters

Value	Count	Frequency (%)
m	445104	27.4%
e	271116	16.7%
r	271116	16.7%
S	222552	13.7%
u	222552	13.7%
W	48564	3.0%
i	48564	3.0%
n	48564	3.0%
t	48564	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1355580	83.3%
Uppercase Letter	271116	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	445104	32.8%
e	271116	20.0%
r	271116	20.0%
u	222552	16.4%
i	48564	3.6%
n	48564	3.6%
t	48564	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	222552	82.1%
W	48564	17.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1626696	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	445104	27.4%
e	271116	16.7%
r	271116	16.7%
S	222552	13.7%
u	222552	13.7%
W	48564	3.0%
i	48564	3.0%
n	48564	3.0%
t	48564	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1626696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	445104	27.4%
e	271116	16.7%
r	271116	16.7%
S	222552	13.7%
u	222552	13.7%
W	48564	3.0%
i	48564	3.0%
n	48564	3.0%
t	48564	3.0%

City
Categorical

HIGH CORRELATION

Distinct	42
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

London	22426
Athina	15556
Sydney	13821
Atlanta	13780
Rio de Janeiro	13688
Other values (37)	191845

Length

Max length	22
Median length	14
Mean length	7.7807912
Min length	4

Characters and Unicode

Total characters	2109497
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Barcelona
2nd row	London
3rd row	Antwerpen
4th row	Paris
5th row	Calgary

Common Values

Value	Count	Frequency (%)
London	22426	8.3%
Athina	15556	5.7%
Sydney	13821	5.1%
Atlanta	13780	5.1%
Rio de Janeiro	13688	5.0%
Beijing	13602	5.0%
Barcelona	12977	4.8%
Los Angeles	12423	4.6%
Seoul	12037	4.4%
Munich	10304	3.8%
Other values (32)	130502	48.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
london	22426	6.7%
athina	15556	4.6%
sydney	13821	4.1%
atlanta	13780	4.1%
rio	13688	4.1%
de	13688	4.1%
janeiro	13688	4.1%
beijing	13602	4.1%
barcelona	12977	3.9%
city	12697	3.8%
Other values (41)	189277	56.5%

Most occurring characters

Value	Count	Frequency (%)
n	214605	10.2%
o	207230	9.8%
e	193828	9.2%
a	164703	7.8%
i	156422	7.4%
l	114486	5.4%
r	96081	4.6%
t	92438	4.4%
	64084	3.0%
s	59391	2.8%
Other values (35)	746229	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1719503	81.5%
Uppercase Letter	322407	15.3%
Space Separator	64084	3.0%
Other Punctuation	2608	0.1%
Dash Punctuation	895	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	214605	12.5%
o	207230	12.1%
e	193828	11.3%
a	164703	9.6%
i	156422	9.1%
l	114486	6.7%
r	96081	5.6%
t	92438	5.4%
s	59391	3.5%
d	58332	3.4%
Other values (15)	361987	21.1%

Uppercase Letter

Value	Count	Frequency (%)
A	55786	17.3%
S	47059	14.6%
L	45517	14.1%
M	41210	12.8%
B	33085	10.3%
R	21807	6.8%
C	17103	5.3%
J	13688	4.2%
T	12084	3.7%
P	10162	3.2%
Other values (6)	24906	7.7%

Other Punctuation

Value	Count	Frequency (%)
'	1307	50.1%
.	1301	49.9%

Space Separator

Value	Count	Frequency (%)
	64084	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	895	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2041910	96.8%
Common	67587	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	214605	10.5%
o	207230	10.1%
e	193828	9.5%
a	164703	8.1%
i	156422	7.7%
l	114486	5.6%
r	96081	4.7%
t	92438	4.5%
s	59391	2.9%
d	58332	2.9%
Other values (31)	684394	33.5%

Common

Value	Count	Frequency (%)
	64084	94.8%
'	1307	1.9%
.	1301	1.9%
-	895	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2109497	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	214605	10.2%
o	207230	9.8%
e	193828	9.2%
a	164703	7.8%
i	156422	7.4%
l	114486	5.4%
r	96081	4.6%
t	92438	4.4%
	64084	3.0%
s	59391	2.8%
Other values (35)	746229	35.4%

Sport
Text

Distinct	66
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	25
Median length	20
Mean length	9.5066577
Min length	4

Characters and Unicode

Total characters	2577407
Distinct characters	47
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Basketball
2nd row	Judo
3rd row	Football
4th row	Tug-Of-War
5th row	Speed Skating

Value	Count	Frequency (%)
athletics	38624	11.5%
gymnastics	27365	8.2%
swimming	24104	7.2%
skiing	18899	5.7%
shooting	11448	3.4%
hockey	10933	3.3%
cycling	10859	3.2%
fencing	10735	3.2%
rowing	10595	3.2%
skating	9445	2.8%
Other values (68)	161473	48.3%

Most occurring characters

Value	Count	Frequency (%)
i	311765	12.1%
n	236992	9.2%
t	196051	7.6%
e	156041	6.1%
s	149741	5.8%
g	144194	5.6%
l	142623	5.5%
o	133948	5.2%
c	111472	4.3%
a	103764	4.0%
Other values (37)	890816	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2178883	84.5%
Uppercase Letter	334820	13.0%
Space Separator	63364	2.5%
Dash Punctuation	340	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	311765	14.3%
n	236992	10.9%
t	196051	9.0%
e	156041	7.2%
s	149741	6.9%
g	144194	6.6%
l	142623	6.5%
o	133948	6.1%
c	111472	5.1%
a	103764	4.8%
Other values (15)	492292	22.6%

Uppercase Letter

Value	Count	Frequency (%)
S	84409	25.2%
A	53391	15.9%
C	40724	12.2%
G	27612	8.2%
B	21451	6.4%
F	20715	6.2%
W	15107	4.5%
H	14598	4.4%
R	11730	3.5%
T	9763	2.9%
Other values (10)	35320	10.5%

Space Separator

Value	Count	Frequency (%)
	63364	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	340	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2513703	97.5%
Common	63704	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	311765	12.4%
n	236992	9.4%
t	196051	7.8%
e	156041	6.2%
s	149741	6.0%
g	144194	5.7%
l	142623	5.7%
o	133948	5.3%
c	111472	4.4%
a	103764	4.1%
Other values (35)	827112	32.9%

Common

Value	Count	Frequency (%)
	63364	99.5%
-	340	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2577407	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	311765	12.1%
n	236992	9.2%
t	196051	7.6%
e	156041	6.1%
s	149741	5.8%
g	144194	5.6%
l	142623	5.5%
o	133948	5.2%
c	111472	4.3%
a	103764	4.0%
Other values (37)	890816	34.6%

Event
Text

Distinct	765
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

Length

Max length	85
Median length	58
Mean length	32.063335
Min length	15

Characters and Unicode

Total characters	8692883
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Basketball Men's Basketball
2nd row	Judo Men's Extra-Lightweight
3rd row	Football Men's Football
4th row	Tug-Of-War Men's Tug-Of-War
5th row	Speed Skating Women's 500 metres

Value	Count	Frequency (%)
men's	182260	15.0%
women's	71916	5.9%
metres	70024	5.7%
athletics	38624	3.2%
gymnastics	27365	2.2%
individual	25476	2.1%
swimming	24136	2.0%
hockey	21866	1.8%
team	20722	1.7%
skiing	18899	1.6%
Other values (428)	717273	58.9%

Most occurring characters

Value	Count	Frequency (%)
	947445	10.9%
e	917589	10.6%
n	614723	7.1%
s	597800	6.9%
i	522595	6.0%
t	416689	4.8%
l	413207	4.8%
o	383702	4.4%
a	323320	3.7%
m	306751	3.5%
Other values (59)	3249062	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6076066	69.9%
Uppercase Letter	1033959	11.9%
Space Separator	947445	10.9%
Other Punctuation	334267	3.8%
Decimal Number	273212	3.1%
Dash Punctuation	26342	0.3%
Open Punctuation	794	< 0.1%
Close Punctuation	794	< 0.1%
Math Symbol	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	917589	15.1%
n	614723	10.1%
s	597800	9.8%
i	522595	8.6%
t	416689	6.9%
l	413207	6.8%
o	383702	6.3%
a	323320	5.3%
m	306751	5.0%
r	286237	4.7%
Other values (15)	1293453	21.3%

Uppercase Letter

Value	Count	Frequency (%)
M	215454	20.8%
S	122248	11.8%
W	96251	9.3%
A	74247	7.2%
F	64464	6.2%
C	53817	5.2%
H	52982	5.1%
T	50659	4.9%
R	49417	4.8%
B	48549	4.7%
Other values (15)	205871	19.9%

Decimal Number

Value	Count	Frequency (%)
0	155854	57.0%
1	39994	14.6%
5	25528	9.3%
4	25157	9.2%
2	14790	5.4%
3	5109	1.9%
8	3429	1.3%
7	1944	0.7%
6	1332	0.5%
9	75	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
'	254702	76.2%
,	76004	22.7%
.	2365	0.7%
/	1196	0.4%

Space Separator

Value	Count	Frequency (%)
	947445	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	26342	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	794	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	794	100.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7110025	81.8%
Common	1582858	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	917589	12.9%
n	614723	8.6%
s	597800	8.4%
i	522595	7.4%
t	416689	5.9%
l	413207	5.8%
o	383702	5.4%
a	323320	4.5%
m	306751	4.3%
r	286237	4.0%
Other values (40)	2327412	32.7%

Common

Value	Count	Frequency (%)
	947445	59.9%
'	254702	16.1%
0	155854	9.8%
,	76004	4.8%
1	39994	2.5%
-	26342	1.7%
5	25528	1.6%
4	25157	1.6%
2	14790	0.9%
3	5109	0.3%
Other values (9)	11933	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8692883	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	947445	10.9%
e	917589	10.6%
n	614723	7.1%
s	597800	6.9%
i	522595	6.0%
t	416689	4.8%
l	413207	4.8%
o	383702	4.4%
a	323320	3.7%
m	306751	3.5%
Other values (59)	3249062	37.4%

Medal
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231333
Missing (%)	85.3%
Memory size	2.1 MiB

Gold	13372
Bronze	13295
Silver	13116

Length

Max length	6
Median length	6
Mean length	5.3277531
Min length	4

Characters and Unicode

Total characters	211954
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gold
2nd row	Bronze
3rd row	Bronze
4th row	Bronze
5th row	Bronze

Common Values

Value	Count	Frequency (%)
Gold	13372	4.9%
Bronze	13295	4.9%
Silver	13116	4.8%
(Missing)	231333	85.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gold	13372	33.6%
bronze	13295	33.4%
silver	13116	33.0%

Most occurring characters

Value	Count	Frequency (%)
o	26667	12.6%
l	26488	12.5%
r	26411	12.5%
e	26411	12.5%
G	13372	6.3%
d	13372	6.3%
B	13295	6.3%
n	13295	6.3%
z	13295	6.3%
S	13116	6.2%
Other values (2)	26232	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	172171	81.2%
Uppercase Letter	39783	18.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	26667	15.5%
l	26488	15.4%
r	26411	15.3%
e	26411	15.3%
d	13372	7.8%
n	13295	7.7%
z	13295	7.7%
i	13116	7.6%
v	13116	7.6%

Uppercase Letter

Value	Count	Frequency (%)
G	13372	33.6%
B	13295	33.4%
S	13116	33.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	211954	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	26667	12.6%
l	26488	12.5%
r	26411	12.5%
e	26411	12.5%
G	13372	6.3%
d	13372	6.3%
B	13295	6.3%
n	13295	6.3%
z	13295	6.3%
S	13116	6.2%
Other values (2)	26232	12.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	211954	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	26667	12.6%
l	26488	12.5%
r	26411	12.5%
e	26411	12.5%
G	13372	6.3%
d	13372	6.3%
B	13295	6.3%
n	13295	6.3%
z	13295	6.3%
S	13116	6.2%
Other values (2)	26232	12.4%

Auto

Heatmap
Table

	ID	Age	Height	Weight	Year	Sex	Season	City	Medal
ID	1.000	-0.002	-0.011	-0.012	0.013	0.029	0.038	0.024	0.000
Age	-0.002	1.000	0.145	0.217	0.001	0.251	0.084	0.090	0.000
Height	-0.011	0.145	1.000	0.827	0.050	0.489	0.117	0.060	0.019
Weight	-0.012	0.217	0.827	1.000	0.009	0.537	0.070	0.050	0.017
Year	0.013	0.001	0.050	0.009	1.000	0.292	0.162	0.912	0.015
Sex	0.029	0.251	0.489	0.537	0.292	1.000	0.037	0.257	0.000
Season	0.038	0.084	0.117	0.070	0.162	0.037	1.000	1.000	0.000
City	0.024	0.090	0.060	0.050	0.912	0.257	1.000	1.000	0.000
Medal	0.000	0.000	0.019	0.017	0.015	0.000	0.000	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ID	Name	Sex	Age	Height	Weight	Team	NOC	Games	Year	Season	City	Sport	Event	Medal
0	1	A Dijiang	M	24.0	180.0	80.0	China	CHN	1992 Summer	1992	Summer	Barcelona	Basketball	Basketball Men's Basketball	NaN
1	2	A Lamusi	M	23.0	170.0	60.0	China	CHN	2012 Summer	2012	Summer	London	Judo	Judo Men's Extra-Lightweight	NaN
2	3	Gunnar Nielsen Aaby	M	24.0	NaN	NaN	Denmark	DEN	1920 Summer	1920	Summer	Antwerpen	Football	Football Men's Football	NaN
3	4	Edgar Lindenau Aabye	M	34.0	NaN	NaN	Denmark/Sweden	DEN	1900 Summer	1900	Summer	Paris	Tug-Of-War	Tug-Of-War Men's Tug-Of-War	Gold
4	5	Christine Jacoba Aaftink	F	21.0	185.0	82.0	Netherlands	NED	1988 Winter	1988	Winter	Calgary	Speed Skating	Speed Skating Women's 500 metres	NaN
5	5	Christine Jacoba Aaftink	F	21.0	185.0	82.0	Netherlands	NED	1988 Winter	1988	Winter	Calgary	Speed Skating	Speed Skating Women's 1,000 metres	NaN
6	5	Christine Jacoba Aaftink	F	25.0	185.0	82.0	Netherlands	NED	1992 Winter	1992	Winter	Albertville	Speed Skating	Speed Skating Women's 500 metres	NaN
7	5	Christine Jacoba Aaftink	F	25.0	185.0	82.0	Netherlands	NED	1992 Winter	1992	Winter	Albertville	Speed Skating	Speed Skating Women's 1,000 metres	NaN
8	5	Christine Jacoba Aaftink	F	27.0	185.0	82.0	Netherlands	NED	1994 Winter	1994	Winter	Lillehammer	Speed Skating	Speed Skating Women's 500 metres	NaN
9	5	Christine Jacoba Aaftink	F	27.0	185.0	82.0	Netherlands	NED	1994 Winter	1994	Winter	Lillehammer	Speed Skating	Speed Skating Women's 1,000 metres	NaN

	ID	Name	Sex	Age	Height	Weight	Team	NOC	Games	Year	Season	City	Sport	Event	Medal
271106	135565	Fernando scar Zylberberg	M	27.0	168.0	76.0	Argentina	ARG	2004 Summer	2004	Summer	Athina	Hockey	Hockey Men's Hockey	NaN
271107	135566	James Francis "Jim" Zylker	M	21.0	175.0	75.0	United States	USA	1972 Summer	1972	Summer	Munich	Football	Football Men's Football	NaN
271108	135567	Aleksandr Viktorovich Zyuzin	M	24.0	183.0	72.0	Russia	RUS	2000 Summer	2000	Summer	Sydney	Rowing	Rowing Men's Lightweight Coxless Fours	NaN
271109	135567	Aleksandr Viktorovich Zyuzin	M	28.0	183.0	72.0	Russia	RUS	2004 Summer	2004	Summer	Athina	Rowing	Rowing Men's Lightweight Coxless Fours	NaN
271110	135568	Olga Igorevna Zyuzkova	F	33.0	171.0	69.0	Belarus	BLR	2016 Summer	2016	Summer	Rio de Janeiro	Basketball	Basketball Women's Basketball	NaN
271111	135569	Andrzej ya	M	29.0	179.0	89.0	Poland-1	POL	1976 Winter	1976	Winter	Innsbruck	Luge	Luge Mixed (Men)'s Doubles	NaN
271112	135570	Piotr ya	M	27.0	176.0	59.0	Poland	POL	2014 Winter	2014	Winter	Sochi	Ski Jumping	Ski Jumping Men's Large Hill, Individual	NaN
271113	135570	Piotr ya	M	27.0	176.0	59.0	Poland	POL	2014 Winter	2014	Winter	Sochi	Ski Jumping	Ski Jumping Men's Large Hill, Team	NaN
271114	135571	Tomasz Ireneusz ya	M	30.0	185.0	96.0	Poland	POL	1998 Winter	1998	Winter	Nagano	Bobsleigh	Bobsleigh Men's Four	NaN
271115	135571	Tomasz Ireneusz ya	M	34.0	185.0	96.0	Poland	POL	2002 Winter	2002	Winter	Salt Lake City	Bobsleigh	Bobsleigh Men's Four	NaN

Most frequently occurring

	ID	Name	Sex	Age	Height	Weight	Team	NOC	Games	Year	Season	City	Sport	Event	Medal	# duplicates
379	77710	Robert Tait McKenzie	M	65.0	NaN	NaN	Canada	CAN	1932 Summer	1932	Summer	Los Angeles	Art Competitions	Art Competitions Mixed Sculpturing, Unknown Event	NaN	43
404	83312	Alfred James Munnings	M	69.0	NaN	NaN	Great Britain	GBR	1948 Summer	1948	Summer	London	Art Competitions	Art Competitions Mixed Painting, Unknown Event	NaN	25
49	12380	Acee Blue Eagle	M	24.0	NaN	NaN	United States	USA	1932 Summer	1932	Summer	Los Angeles	Art Competitions	Art Competitions Mixed Painting, Unknown Event	NaN	17
363	74532	Miltiades Manno	M	53.0	NaN	76.0	Hungary	HUN	1932 Summer	1932	Summer	Los Angeles	Art Competitions	Art Competitions Mixed Painting, Unknown Event	NaN	17
415	86677	Stanisaw Noakowski	M	61.0	NaN	NaN	Poland	POL	1928 Summer	1928	Summer	Amsterdam	Art Competitions	Art Competitions Mixed Painting, Drawings And Water Colors	NaN	17
114	28407	Wilhelm (William) Hunt Diederich	M	48.0	NaN	NaN	United States	USA	1932 Summer	1932	Summer	Los Angeles	Art Competitions	Art Competitions Mixed Painting, Unknown Event	NaN	16
607	134046	ngel Zrraga Argelles	M	41.0	NaN	NaN	Mexico	MEX	1928 Summer	1928	Summer	Amsterdam	Art Competitions	Art Competitions Mixed Painting, Paintings	NaN	16
212	44875	Alfrd (Arnold-) Hajs (Guttmann-)	M	50.0	NaN	NaN	Hungary	HUN	1928 Summer	1928	Summer	Amsterdam	Art Competitions	Art Competitions Mixed Architecture, Architectural Designs	NaN	14
213	44875	Alfrd (Arnold-) Hajs (Guttmann-)	M	50.0	NaN	NaN	Hungary	HUN	1928 Summer	1928	Summer	Amsterdam	Art Competitions	Art Competitions Mixed Architecture, Designs For Town Planning	NaN	14
61	14083	Marcel Bouraine	M	NaN	NaN	NaN	France	FRA	1924 Summer	1924	Summer	Paris	Art Competitions	Art Competitions Mixed Sculpturing	NaN	13

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Modifier Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories